SumitVermakgp / NLP-Attribute-Extraction-Flipkart
Large online shopping companies need to automatically populate their product descriptions supplied by the sellers. Many a times the text is noisy, hence learning algorithms need to be designed. The workhorses for this problems are conditional random fields (CRF), but they need hand tuned features as input. Using deep learning algorithms to solve…
☆11Updated 6 years ago
Alternatives and similar repositories for NLP-Attribute-Extraction-Flipkart:
Users that are interested in NLP-Attribute-Extraction-Flipkart are comparing it to the libraries listed below
- Introduction Notebook to Extreme Multi-Label Classification problem (XML)☆22Updated 6 years ago
- A neural text process python lib for context-based feature extraction on Seq-Tagging data.☆10Updated 6 years ago
- SIGIR 2017: Embedding-based query expansion for weighted sequential dependence retrieval model☆36Updated 7 years ago
- A simple version of DeepRank & MatchPyramid implemented in PyTorch.☆35Updated 4 years ago
- Neural Reranking for Named Entity Recognition, accepted as regular paper at RANLP 2017☆23Updated 7 years ago
- Facilitate the learning, practicing, and designing of neural text matching models with a user-friendly and interactive interface.☆38Updated 2 years ago
- This released code is for our ACL2018 paper "End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions". …☆15Updated 6 years ago
- ☆9Updated last year
- NER with Deep contextualized word representations (Elmo)☆23Updated 6 years ago
- Simple scripts to generate and use an Annoy index and lmdb map☆28Updated 7 years ago
- Official repository of "Efficient and Effective Query Expansion for Web Search", Short Paper @ CIKM 2018☆15Updated 5 years ago
- ☆15Updated 7 years ago
- Tutorials on session-based recommender systems☆11Updated 8 years ago
- Unofficial implementation of the paper "OpenTag: Open Attribute Value Extraction from Product Profiles"☆33Updated 6 years ago
- TensorFlow code and pre-trained models for A Dynamic Word Representation Model Based on Deep Context. It combines the idea of BERT model…☆15Updated 6 years ago
- ☆16Updated 7 years ago
- Using Centroids of Word Embeddings and Word Mover's Distance for Biomedical Document Retrieval in Question Answering.☆14Updated 7 years ago
- An evaluation of word-embeddings for classification☆32Updated 6 years ago
- NER System Developed at CMU☆11Updated 7 years ago
- Dynamic Entity Summarization (DynES)☆20Updated 5 years ago
- Facebook faiss相关的python接口☆15Updated 5 years ago
- Building Event Extraction and Trending Framework for Twitter☆14Updated 7 years ago
- SIGIR 2017 Candidate Selection Tutorial (http://sigir.org/sigir2017/program/tutorials/#candidate)☆14Updated 7 years ago
- ☆35Updated 3 years ago
- A bag of miscellaneous demos!☆13Updated 8 years ago
- Variants of Multi-Perspective Convolutional Neural Networks☆22Updated last year
- Implements Rocchio Query Expansion - similar to "related searches:" found at popular search engines but based on relevant documents selec…☆20Updated 8 years ago
- Table2answer: Read the database and answer without SQL https://arxiv.org/abs/1902.04260☆14Updated 3 years ago
- Tensorflow based implementation of deep siamese LSTM network for sentence classification using character embeddings☆15Updated 7 years ago
- deep entity resolution lite version☆11Updated 5 years ago